Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2
Geekbench AI Score
4213
Single Precision Score
1820
Half Precision Score
6108
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 05 2025 06:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3588
667.3 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (Q)
|
96% |
5384
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2073
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
6448
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6100
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5238
6.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
12751
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
3316
263.0 IPS |
|
|
Object Detection (HP)
|
100% |
877
69.6 IPS |
|
|
Object Detection (Q)
|
58% |
3799
415.1 IPS |
|
|
Face Detection (SP)
|
100% |
5324
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
1697
20.2 IPS |
|
|
Face Detection (Q)
|
96% |
9149
109.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8510
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2411
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11978
95.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15509
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13027
16.7 IPS |
|
|
Style Transfer (Q)
|
87% |
14891
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2957
109.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2451
90.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4656
172.5 IPS |
|
|
Text Classification (SP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1605
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2855
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (Q)
|
68% |
3529
68.2 IPS |
